Park energy Internet is an important research and development direction catering to the requirements of energy sustainability. In this paper, a typical structure of park energy Internet and models of several energy equipment are built. Multiple evaluation indexes including overall energy utilization rate, overall energy self-sufficiency rate and energy shortage expectation are proposed. Based on this, a bilevel programming model of park energy Internet considering economy and security is proposed. Further, a hybrid solving strategy of cataclysmic genetic algorithm and CPLEX solver is used to reduce the time of solution and improve the convergence. Finally, it is proved that the proposed method can meet the requirements of the economy and security of the system as well as the energy sustainability.
© 2020 Published under licence by IOP Publishing Ltd.

In this paper, a scheduling framework based on air-conditioning load aggregator is first proposed. Then the split constant frequency air-conditioning load is optimized by minute level. The step function characteristic between the average air-conditioning load per hour and the temperature difference set at the beginning and the end of the time is obtained and linearized. A temperature difference-power model suitable for air-conditioning hourly scheduling is established. Secondly, aiming at the multiple load aggregators existing in the distribution area, this paper proposes a non-cooperative game model of air conditioning load aggregators. Considering the problem of discretization of control variables in the game revenue function, this paper introduces continuous intermediate variables, establishes a hierarchical optimization model of the game, and gives the proof that the hierarchical optimization of the game has a unique pure strategy Nash equilibrium solution and the solution method. Finally, the feasibility of the proposed method is verified by numerical simulation.
© 2020 Published under licence by IOP Publishing Ltd.

In the low-voltage distribution network, it's hard to know the identification accuracy of the phase identification algorithm. To solve this problem, this paper proposes a credibility evaluation method which can assess the results of phase identification algorithm, based on data analysis, in the low-voltage distribution network. In this paper, we start from the mechanism of the phase identification algorithm based on the data analysis. Then considering the effect of data quality measured by smart meters, we propose five evaluation indicators of credibility including completion of data, completion of valid meters, unbalance of three-phase voltage, obvious users rate and ratio of time to meters. Next, we build the credibility evaluation model of phase identification result based analytic hierarchy process and polynomial fitting. Finally, simulation results using the real meter datasets of two real low-voltage distribution networks in Guangdong, China to demonstrate the performance of our method. © 2020 IEEE.

The uncertainty of renewable energy sources (RESs) has adverse effect to the islanded microgrids (IMGs) operation. The traditional method by using spinning reserve as supporting reserve capacity is neither economic nor environmental. The reasonable allocation of the reserve capacity is necessary. Thus, a reserve-energy joint optimal scheduling model is proposed for the economic and reliable operation of IMGs. Firstly, a multi-type reserve capacity system for IMGs considering the different characteristics of generation-load-storage is proposed. Then, the conditional value-at-risk (CVaR) method is introduced to assess the operation risk loss produced by reserve shortage. In order to improve the solving efficiency of the reserve-energy joint optimal scheduling model, Latin hypercube sampling (LHS) considering correlation is adopted. Finally, the effectiveness of the proposed method and model is verified by numerical simulation results. © 2020 IEEE.