On the power supply side, renewable energy (RE) is an important substitute to traditional energy, the effective utilization of which has become one of the major challenges in risk-constrained power system operations. This paper proposes a risk-based power dispatching strategy considering the demand response (DR) and RE utilization in the stochastic optimal scheduling of parallel manufacturing process (PMP) in industrial manufacturing enterprises (IME). First, the specific production behavior model of PMP is formulated to characterize the flexibility of power demand. Then, a two-step strategic model is proposed to comprehensively quantify multiple factors in the optimal scheduling of DR in PMP loads considering risk-based power system dispatch, thermal generators, wind power integration. Case studies are based on the modified IEEE 24-bus power system, which verify the effectiveness of the proposed strategy in optimally coordinating IME assets with generation resources for promoting the RE utilization, as well as the impacts of power transmission risk on decision performance.

To sustain operation and maintenance of an active distribution network (ADN), a network fee should be charged by the distribution network service provider (DNSP) for facilitating the P2P energy trading service. To this end, this paper models the interaction among the DNSP and multiple prosumers as a Stackelberg game, and then develops a non-iterative and decentralized transactive mechanism to simultaneously achieve optimal network utilization pricing and peer-to-peer (P2P) trading. Simulation results in an ADN with four prosumers connected to a common substation bus validate the effectiveness and efficiency of the proposed scheme.