Two multi-optional multi-level demand-contracting optimisers with considering energy resources

In the market, the aggregators offer various proposals for an electrical customer, who selects one among all of them. The proposals may include different numbers of levels of uncontracting capacity rates, demand and energy prices, measuring intervals and billing periods. To schedule the best contract between user and electricity supply provider for upcoming months, two new approaches are presented here to solve the multi-optional multi-level demand-contracting problem. First, the feasible region is curtailed to the certain edged points and then, the optimal proposal and contracting demand (CD) are obtained by either direct or indirect proposed method. Moreover, a robustness analysis on the solution due to having errors in the forecasted maximum demands and changing the generations of the connected energy resource (ER) or installing a new one is presented. Some useful stability indices are also proposed. Likewise, updating the optimal solution due to having such errors is presented. Various numerical tests are taken place to analyse the influence of each parameter of the problem on the optimum and compare the proposed techniques. The results highlight the efficient capability of the proposed methods in fast obtaining the optima and stability investigation on the solution.